Search notes:
Data mining: learning
Learning things that aren't true
Data Mining Techniques:
- Patterns may not represent any underlying rule (p. 45)
- The model set may not reflect the relevant population (p. 46)
- Data may be at the wrong level of detail (p. 47)
Learning things that are true
Data Mining Techniques:
- Learning things that are already known (p. 49)
- Learning things that can’t be used, for example for regulatory reasons (p. 49)